Data Engineer (Databricks)

TL;DR

Data Engineer (Databricks): Building and optimizing data pipelines for a production system managing life insurance programs with an accent on Databricks architecture and Azure integration. Focus on maintaining data lineage, managing permissions via Unity Catalog, and developing complex data solutions within a modern cloud environment.

Location: Must be based in Bulgaria, Georgia, Lithuania, Mexico, Moldova, Poland, Romania, or Ukraine (Remote/Hybrid available).

Company

A global provider of software development services partnering with leading life insurance companies.

What you will do

• Design, build, and optimize high-performance data pipelines on Azure.
• Manage data architecture and security using Databricks Unity Catalog and Delta Tables.
• Develop and maintain production-grade data processing solutions.
• Collaborate with stakeholders to implement new features for life insurance systems.
• Ensure data integrity, lineage, and efficient access control.

Requirements

• 3+ years of experience as a Data Engineer.
• Strong experience with Databricks ecosystem (architecture, Unity Catalog, Delta tables, lineage).
• Solid proficiency in SQL and Python.
• Proven experience working in Azure cloud environments.
• English level: B2 or higher.

Culture & Benefits

• Flexible work options including remote and hybrid opportunities.
• Professional growth through technical/non-technical training and internal conferences.
• Health insurance and sports activity programs.
• Internal startup incubator and mentorship support.
• Work anniversary program with additional vacation days.